Yarud Mariupol' vs Metal Kharkiv: result 0-3 and analysis
Druha Liga - Group BGroup B - 7Kick-off on October 16, 2020 at 11:00 AM (UTC)Stadion Zakhidnyi, Mariupol'
Full time
What was the result of Yarud Mariupol' vs Metal Kharkiv?
Metal Kharkiv won 0-3 on October 16, 2020.
Goalscorers
- 24′V. NekhtiiMetal Kharkiv
- 43′E. DemchenkoMetal Kharkiv
- 54′E. DemchenkoMetal Kharkiv
What is the recent form of both teams?
Over their last 5 matches in all competitions, Yarud Mariupol' have 0 wins, 1 draws and 4 defeats; Metal Kharkiv have 6, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Metalurh Zaporizhya(home) | 0-3 | Druha Liga - Group B |
| Sep 26, 2020 | Balkany Zorya(away) | 1-3 | Druha Liga - Group B |
| Sep 20, 2020 | Enerhiya Nova Kakhovka(home) | 1-3 | Druha Liga - Group B |
| Sep 6, 2020 | Tavriya(away) | 1-1 | Druha Liga - Group B |
| Aug 29, 2020 | Viktoriya Mykolaivka(away) | 0-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2020 | Tavriya(home) | 2-1 | Druha Liga - Group B |
| Oct 3, 2020 | Mykolaiv II(away) | 2-0 | Druha Liga - Group B |
| Sep 25, 2020 | Peremoga(home) | 2-0 | Druha Liga - Group B |
| Sep 19, 2020 | Nikopol(away) | 2-0 | Druha Liga - Group B |
| Sep 11, 2020 | Real Pharm(home) | 6-0 | Druha Liga - Group B |
How many goals should we expect?
Yarud Mariupol' score 0.6 and concede 2.8 goals per match over their last 5; Metal Kharkiv score 2.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yarud Mariupol' | 0.6 | 2.8 | 0 | 3/5 | 4/5 |
| Metal Kharkiv | 2.7 | 0.6 | 5 | 2/7 | 4/7 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Yarud Mariupol' | 20 | 6 | 6 | 8 | 36 | 29 | 24 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy